Course Outline

RSCH 665 : Statistical Analysis

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Last approved: Mon, 11 Jan 2016 17:54:33 GMT

Last edit: Mon, 11 Jan 2016 17:54:32 GMT

RSCH 665-WW
Campus
Worldwide
College of Aeronautics (WAERO)
RSCH
665
Statistical Analysis
3
The review, design, planning, analysis and statistical interpretation of data to support research studies and industrial applications. Students will build on statistical theory and learn advanced techniques that can be applied to problem solving, research analysis and numerical interpretation of data. Students will learn to identify parametric and non parametric statistics, develop correlation methods for linear and non linear data, and statistical significance testing between samples and within samples. Students will undertake projects using computer programs for data that is derived or given. Statistical results will be presented in tabular, graphical and numerical ways in accordance with the American Psychological Association format.

This course is a requirement for the Department of Aeronautics (MAS & MSOSM). The purpose of the course is to enable students to develop the understanding and skills to apply statistical research design and interpretation in their own research efforts and to be able to evaluate and interpret the research findings of others.

Upon completion of this course, the student will be able to:

1. Explain the purpose of empirical research and the role of statistics.

2. Describe and apply the use of descriptive statistics.

3. Describe and demonstrate the use of descriptive statistics for joint distributions including correlation coefficients and linear regression.

4. Present statistical findings in appropriate formats within technical writings and reports.

5. Evaluate the reasoning behind statistical inference and how various confidence levels apply.6. Distinguish and apply the types of data where statistical tests for between-subjects designs including t-tests, one-way analysis of variance, and factorial analysis of variance can be applied

7. Comprehend and solve for the types of data using statistical tests for within-subjects and mixed designs including randomized-block analysis of variance, split-plot analysis of variance, and analysis of covariance can be applied.

8. Differentiate between parametric and nonparametric statistics and apply appropriately to analyze data for a wide range of aviation/aerospace and industrial applications.

9. Calculate multiple regression to analyze data in linear formats and recognize where non- linear formats exists.

10. Calculate Chi-square values to test hypotheses for various degrees of freedoms.

Located on the Daytona Beach Campus, the Jack R. Hunt Library is the primary library for all students of the Worldwide Campus. The Chief Academic Officer strongly recommends that every faculty member, where appropriate, require all students in his or her classes to access the Hunt Library or a comparable college-level local library for research. The results of this research can be used for class projects such as research papers, group discussion, or individual presentations. Students should feel comfortable with using the resources of the library. 


Web & Chat: http://huntlibrary.erau.edu
Email:  library@erau.edu
Text: (386) 968-8843
Library Phone:  (386) 226-7656 or (800) 678-9428
Hourshttp://huntlibrary.erau.edu/about/hours.html
 

N/A
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Written assignments must be formatted in accordance with the current edition of the Publication Manual of the American Psychological Association (APA) unless otherwise instructed in individual assignments.

ActivityPercent of Grade
Input Grading Item100

Undergraduate Grade Scale

90 - 100% A
80 - 89% B
70 - 79% C
60 - 69% D
0 - 60% F

Graduate Grade Scale

90 - 100% A
80 - 89% B
70 - 79% C
0 - 69% F
Dr. David Ison - 4/1/2015
david.ison@erau.edu
Dr. Kent Anderson - 4/1/2015
ander5dc@erau.edu
Dr. Ian McAndrew - 4/1/2015
mcand4f1@erau.edu
Dr. Kenneth Witcher - 4/1/2015
kenneth.witcher@erau.edu
Key: 178